Reson Studio: An AI Integrated Digital Audio Workstation for Intelligent and Collaborative Music Production
Abstract
Reson Studio is a browser-oriented Digital Audio
Workstation that integrates artificial intelligence to support modern
music creation workflows. Conventional audio production
tools often require expensive licenses, powerful hardware, and
complex installation procedures, restricting access to students
and independent creators. Reson Studio addresses these challenges
by offering a web-based platform that combines realtime
audio and MIDI processing with AI-assisted composition
features. The system supports multitrack recording, live audio
effects, intelligent melody and chord generation, and collaborative
project management through cloud services. Performance
analysis demonstrates low-latency audio processing and reliable
AI-generated musical assistance, indicating that Reson Studio is
a practical, scalable, and accessible solution for contemporary
digital music production.
Keywords:
Digital Audio Workstation, Artificial Intelligence, Music Generation, Web Audio API, MIDI Processing, Audio Engineering
Published
Issue
Section
License
Copyright (c) 2026 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Romal Raju, Sandra Madhu, TS Athulya, Rekha K S, Aparna Unni, Smart Meter using Blockchain , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Thomas P Reji, Vivek Vinod, Tomin Joe Justin, Sruthij S Nair, Tintu Alphonsa Thomas, Sphere : Smart Event Management Platform with Real-Time Updates and Seamless Collaboration , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Honey Joseph, Aaron M Vinod, Abin Mathew varghese, Aby Alex, Aleena Sain, Crop Yield Prediction Using ML , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- An Mariya Deve M D, Aswani Unni, Bhagya S, Abin Joseph, Dr. Aju Mathew George, Innovative Biochar Applications for Sustainable Water Purification , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- P S Aswin, Archana Madhusudhanan , Athulya Sajeev, Neeha Moideen , C R Suhail, Revolutionizing Football Management: A Data-Driven Approach with Random Forest Regressor , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Athul Das, Dan Kuruvilla, Amrutha P Chandran, Blesson V Monichan, Elias Janson K, TRIMBOT: AUTONOMOUS GRASS CUTTING ROBOT USING GPS NAVIGATION , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Lis Jose, Albin John Wilson, Akshay Sebastian, Alisha Ann Subash, Agnes James, SafeRoute-A Comprehensive Travel Solution , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Ann Mary Babu, Anto K Thomas, Aswin Sebastian, Beffin K Lalu, Dr Jacob John, Assistive Technology For Deaf And Dumb , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Aman M Hafees, Aman Yunus, Aashish Tom Raju , Agnus Roy, Ansamol Varghese, PowerPath: A Mobile Application for Transformer Monitoring and Maintenance , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Amala Jayan, Feneesha V B, Rameesa Dilsa C P, Sandra Maryam Binu, Sandra Maryam Binu, Stockwise: A survey on stock price prediction models , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.